For decades, robots have been designed particularly for children, such as robot companions and therapeutic robots for children with ASD. This research has gained attention in various communities, including robotics, human-machine interaction, and psychology. Two of the most important aspects in designing these robots are perception and interaction dynamics. Precise perception allows the robots to gather informative behavioral and affective signals from children, and thus, the robots can provide effective prompts and feedback accordingly. Interaction dynamics between the robots and the children needs to be optimized towards a goal to help enhance the quality of these children’s lives. The interaction dynamics also elicits specific interaction cues that need to be perceived carefully by the robots. We believe that a tight coupling between perception and interaction dynamics is vital for successful assistance.

While holding great promises, a variety of challenges need to be addressed before robots can reach their full potential. Topics to be discussed during the workshop include, but are not limited to:

· Perception cues and methodologies in child-robot interaction (CRI).

· Defining interaction models in CRI.

· Personalization, adaptation, and automation of CRI

· Social cognition and learning in CRI

This workshop aims to bring together researchers from the assistive robotics, human-robot interaction, human sensing, human factors, and psychology communities. By combining these communities’ strengths and sharing current progress, we hope to discuss ideas and solutions that tackle the current difficulties, make progress towards robotic systems that have a positive impact on children, and discuss future trends and open problems.